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Detection of Eye Blinks from EEG using Hidden Markov Models

Fulltext:


Authors:

Ali Özgur Argunsah , Baran Çürüklü, Mujdat Cetin

Research group:

Robotics

Publication Type:

Conference/Workshop Paper

Venue:

Medicinteknikdagarna

Abstract

Eye blinks are one of the major sources of physiological noise during electroencephalography (EEG) recordings [1]. There are two aspects in detecting eye blinks, automatic removal of eye blink artifacts and assessing the quality of the EEG record (in terms of its degradation due to eye blinks) for experiments such as brain computer interfaces (BCIs). In this paper, hidden Markov models (HMMs) are used to detect eye blinks from fronto-polar electrodes (Fp1 and Fp2) of EEG recordings. One of the advantages of the current method is there is no need to have extra electroocculogram (EOG) channels for detection.

Bibtex

@inproceedings{Argunsah1548,
author = {Ali {\"O}zgur Argunsah and Baran {\c{C}}{\"u}r{\"u}kl{\"u} and Mujdat Cetin},
title = {Detection of Eye Blinks from EEG using Hidden Markov Models},
month = {September},
year = {2009},
booktitle = {Medicinteknikdagarna },
url = {http://www.es.mdu.se/publications/1548-}
}